Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium

• Main Authors: Buffel Veerle (Author), Danhieux Katrien (Author), Philippe Bos (Author), Remmen Roy (Author), Van Olmen Josefien (Author), Wouters Edwin (Author)
• Format: Book
• Published: BMC, 2022-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s12913-022-08625-8; 1472-6963
• Keywords: Primary care; Routinely Collected Data; Quality of Healthcare; Type 2 Diabetes; Integrated Delivery Systems; Public aspects of medicine; RA1-1270
• Source: BMC Health Services Research, Vol 22, Iss 1, Pp 1-17 (2022)

Abstract Background To assess the quality of integrated diabetes care, we should be able to follow the patient throughout the care path, monitor his/her care process and link them to his/her health outcomes, while simultaneously link this information to the primary care system and its performance on the structure and organization related quality indicators. However the development process of such a data framework is challenging, even in period of increasing and improving health data storage and management. This study aims to develop an integrated multi-level data framework for quality of diabetes care and to operationalize this framework in the fragmented Belgium health care and data landscape. Methods Based on document reviews, iterative working group discussions and expert consultations, theoretical approaches and quality indicators were identified and assessed. After mapping and assessing the validity of existing health information systems and available data sources through expert consultations, the theoretical framework was translated in a data framework with measurable quality indicators. The construction of the data base included sampling procedures, data-collection, and several technical and privacy-related aspects of linking and accessing Belgian datasets. Results To address three dimensions of quality of care, we integrated the chronic care model and cascade of care approach, addressing respectively the structure related quality indicators and the process and outcome related indicators. The corresponding data framework is based on self-collected data at the primary care practice level (using the Assessment of quality of integrated care tool), and linked health insurance data with lab data at the patient level. Conclusion In this study, we have described the transition of a theoretical quality of care framework to a unique multilevel database, which allows assessing the quality of diabetes care, by considering the complete care continuum (process and outcomes) as well as organizational characteristics of primary care practices.